Anastasiya Belyaeva

The paper introduces Minigraph-Cactus, a pangenome pipeline that constructs pangenome graphs directly from whole-genome alignments, demonstrating improved performance in mapping and variant calling across human and Drosophila data.

The paper presents a draft human pangenome reference that improves variant discovery and structural variant detection compared to existing references.

The paper shows recombination between heterologous human acrocentric chromosomes using pangenome data, revealing pseudo-homologous regions linked to Robertsonian translocations.

The paper introduces a tool called best for efficiently quantifying sequencing errors in aligned reads and shows it is 16 times faster than existing methods.

The paper introduces DCI, an algorithm to infer differences in gene regulatory networks between conditions using gene expression data, and validates it on bulk and single-cell RNA-seq data.

This paper introduces an autoencoder-based method to integrate single-cell imaging and sequencing data, identifying sub-populations of human naive CD4+ T-cells.